Semimartingales

Semimartingales is a stochastic process that generalizes both martingales and processes of finite variation, characterized as the largest class of integrators for which a consistent stochastic integration theory can be developed within the framework of continuous-time stochastic calculus.

740

Publications

48.6K

Citations

802

Authors

454

Institutions

Publications per year

2017–2026

60

Authors

802

  1. MS
    Martin Schweizer

    ETH Zurich, Switzerland

    15 publications · 1.6K citations

    12

    h-index

  2. JJ
    Jean Jacod

    Sorbonne Université, France

    14 publications · 1.8K citations

    12

    h-index

  3. PP
    Philip Protter

    Cornell University, United States

    12 publications · 1K citations

    11

    h-index

  4. FR
    Francesco Russo

    École Nationale Supérieure de Techniques Avancées, France

    14 publications · 506 citations

    11

    h-index

  5. NT
    Nizar Touzi

    École Polytechnique, France

    11 publications · 608 citations

    11

    h-index

1–5 of 802

Venues

  1. The Annals of Probability

    60 publications · 4.4K citations

    34

    h-index

  2. Stochastic Processes and their Applications

    59 publications · 3.5K citations

    29

    h-index

  3. The Annals of Applied Probability

    37 publications · 3.3K citations

    24

    h-index

  4. Probability Theory and Related Fields

    28 publications · 1.8K citations

    17

    h-index

  5. Finance and Stochastics

    18 publications · 1.7K citations

    17

    h-index

1–5